samsung SM-X216B
Geekbench ML Score
166
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | April 19 2025 11:32 AM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-X216B |
| Model ID | samsung SM-X216B |
| Motherboard | holi |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.21 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
114
12.2 IPS |
|
|
Image Classification (F16)
|
100% |
100
10.7 IPS |
|
|
Image Classification (I8)
|
81% |
130
13.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
218
1.34 IPS |
|
|
Image Segmentation (F16)
|
100% |
230
1.42 IPS |
|
|
Image Segmentation (I8)
|
89% |
411
2.54 IPS |
|
|
Pose Estimation (F32)
|
100% |
83
0.34 IPS |
|
|
Pose Estimation (F16)
|
100% |
85
0.34 IPS |
|
|
Pose Estimation (I8)
|
80% |
109
0.44 IPS |
|
|
Object Detection (F32)
|
100% |
140
4.90 IPS |
|
|
Object Detection (F16)
|
100% |
133
4.67 IPS |
|
|
Object Detection (I8)
|
52% |
156
5.48 IPS |
|
|
Face Detection (F32)
|
100% |
211
2.42 IPS |
|
|
Face Detection (F16)
|
100% |
199
2.28 IPS |
|
|
Face Detection (I8)
|
75% |
257
2.95 IPS |
|
|
Text Classification (F32)
|
100% |
159
62.7 IPS |
|
|
Text Classification (F16)
|
100% |
174
68.8 IPS |
|
|
Machine Translation (F32)
|
100% |
277
42.7 IPS |
|
|
Machine Translation (F16)
|
100% |
282
43.4 IPS |
